求解椭圆型和抛物型方程的椭球随机游动方法

IF 0.8 Q3 STATISTICS & PROBABILITY Monte Carlo Methods and Applications Pub Date : 2020-11-20 DOI:10.1515/mcma-2020-2078
I. Shalimova, K. Sabelfeld
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引用次数: 4

摘要

摘要针对一类二阶导数和零阶导数的椭圆型方程,提出了一种椭球上随机游走算法。从常系数椭圆方程出发,导出了一个积分方程,它将椭球中心的解与原微分方程的系数结构所定义的椭球上解的积分联系起来。将此积分关系推广到抛物型方程,其中首次通过时间分布和生存概率以显式形式给出。我们提出了一种有效的仿真方法,通过引入分离球的概念来实现RWE算法。我们证明了RWS方法的平均步数的对数行为对RWE算法仍然成立。最后,我们展示了如何将所开发的RWE算法应用于求解变系数椭圆型和抛物型方程。给出了一系列辅助的计算机模拟。
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Random walk on ellipsoids method for solving elliptic and parabolic equations
Abstract A Random Walk on Ellipsoids (RWE) algorithm is developed for solving a general class of elliptic equations involving second- and zero-order derivatives. Starting with elliptic equations with constant coefficients, we derive an integral equation which relates the solution in the center of an ellipsoid with the integral of the solution over an ellipsoid defined by the structure of the coefficients of the original differential equation. This integral relation is extended to parabolic equations where a first passage time distribution and survival probability are given in explicit forms. We suggest an efficient simulation method which implements the RWE algorithm by introducing a notion of a separation sphere. We prove that the logarithmic behavior of the mean number of steps for the RWS method remains true for the RWE algorithm. Finally we show how the developed RWE algorithm can be applied to solve elliptic and parabolic equations with variable coefficients. A series of supporting computer simulations are given.
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来源期刊
Monte Carlo Methods and Applications
Monte Carlo Methods and Applications STATISTICS & PROBABILITY-
CiteScore
1.20
自引率
22.20%
发文量
31
期刊最新文献
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